Senior Data Scientist
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Posted on:
Yesterday
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1 Vacancy
Job Summary
At Branch were transforming how brands and users interact across digital platforms. Our mobile marketing and deep linking solutions are trusted to deliver seamless experiences that increase ROI decrease wasted spend and eliminate siloed attribution. Our Branch team consists of smart humble and collaborative people who value ownership over all. Everything we do is centered around creating a great product team and company that lives and breathes our motto: Build Together Grow Together Win Together.
The Discovery team is at the forefront of driving Branchs success in the mobile growth and advertising ecosystem. Our mission is to intelligently connect the right ads to the right users at the optimal moment maximizing brand awareness and return on ad spend (ROAS) for our customers while ensuring a high-quality user experience.
As a Senior Data Scientist on this team you will be instrumental in building the next generation of our ad delivery platform. You will develop productionize and deploy sophisticated machine learning models that are essential for optimizing ad delivery performance through novel sourcing and targeting techniques. This role requires a blend of rigorous scientific research engineering execution and deep understanding of the Ad Tech domain.
Key Responsibilities
- Lead the design development and deployment of high-impact machine learning models (e.g. predicted click-through rate conversion rate bidding optimization and lookalike targeting) directly into our production environment.
- Drive complex ambiguous and high-scale ML projects from initial research and proof-of-concept through to large-scale deployment working closely with software engineering teams.
- Design and execute rigorous online A/B experiments to test hypotheses measure model performance and statistically analyze results to drive continuous product improvement.
- Perform hands-on analysis and modeling of enormous complex data sets to identify predictive signals and develop new features that enhance targeting and sourcing efficacy.
- Establish scalable efficient and automated processes for large-scale data analysis machine learning model development validation and serving.
- Stay abreast of the latest research in ML deep learning optimization and Ad Tech and apply new innovative approaches to Branchs unique challenges in ad delivery and optimization.
- Communicate complex findings and product vision to engineers product managers and business stakeholders influencing the roadmap for the Discovery platform.
Basic Qualifications
- 4 years of professional experience building and deploying machine learning models for business applications.
- PhD in Computer Science Engineering Machine Learning Statistics or a related quantitative field OR a Masters degree in a related field and 4 years of relevant experience.
- Strong programming proficiency in one or more relevant languages (e.g. Python Java C).
- Deep expertise in foundational computer science areas including algorithms and data structures numerical optimization data mining and distributed computing (e.g. Spark Hadoop).
- Experience with ML frameworks and libraries (e.g. PyTorch TensorFlow Scikit-learn).
- Proven ability to translate business problems into mathematical and ML frameworks.
Preferred Qualifications
- Experience in professional software development practices including system design code review and production environment management.
- Deep familiarity with the Ad Tech ecosystem (e.g. DSPs SSPs Exchanges Advertiser/Publisher platforms) and related challenges like auction dynamics bidding strategies and anti-fraud systems.
- Experience working with massive-scale data (billions of daily events) and petabyte-scale data processing systems.
- Prior experience developing models specifically for recommender systems personalization or large-scale optimization problems.
- Familiarity with cloud computing environments (AWS GCP or Azure).
This role does not qualify for relocation or visa sponsorship.
This role is 100% remote in Canada. This role is not eligible for remote work in any other location.
In accordance with applicable law the following represents a reasonable estimated compensation range for this role: the estimated pay range for this role if based in Canada is 148000 CAD to 189000 CAD. Please note that this information is provided for those hired in Canada only. Compensation for candidates outside of Canada will be based on the candidates specific work location. Actual compensation will be determined based on skills experience and geographic location and may be more or less than the amount shown above.
The salary range provided represents base compensation and does not include potential equity which is available for qualifying positions. At Branch we are committed to the well-being of our team by offering a comprehensive benefits package. From health and wellness programs to paid time off and retirement planning options we provide a range of benefits for qualified employees. For detailed information on the benefits specific to your position please consult with your recruiter.
Branch is an equal opportunity employer. All applicants will be considered for employment without attention to race color religion sex sexual orientation gender identity national origin veteran or disability status.
If you think youd be a good fit for this role wed love for you to apply! At Branch we strive to create an inclusive culture that encourages people from all walks of life to bring their unique diverse perspectives to work. We aim every day to build an environment that empowers us all to do the best work of our careers and we cant wait to show you what we have to offer!
A little bit about us:
Branch is an award-winning employer headquartered in Mountain View CA. World-class brands like Instacart Western Union NBCUniversal Zocdoc and Sephora acquire users retain customers and drive more conversions with Branch.
Candidate Privacy Information:
For more information on the data that Branch will collect throughyour application and how we use share delete and retain that information as part of our recruitment and employmentefforts please see ourHR Privacy Policy.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
Branch offers a powerful Mobile Attribution Platform, advanced mobile app analytics, & seamless deep link solutions to optimize app growth and user engagement.
